Subhajit Sengupta

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Subhajit Sengupta trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. David G. Lowe

Who trusts Subhajit Sengupta overall

  1. Suchet Bargoti
  2. James Patrick Underwood

Papers from Subhajit Sengupta's perspective

Ordered by how strongly the researchers Subhajit Sengupta trusts endorse each paper. Same corpus, a different order for every researcher.

  1. High burden and pervasive positive selection of somatic mutations in normal human skin (Science)
  2. Somatic mutation in cancer and normal cells (Science)
  3. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. Layer Normalization
  8. Histograms of oriented gradients for human detection
  9. Going deeper with convolutions
  10. Understanding the difficulty of training deep feedforward neural networks

Their papers